MatrixNet: Difference between revisions
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'''MatrixNet''' is a proprietary [[Machine learning|machine learning]] algorithm developed by [[Company:Yandex|Yandex]] and used widely throughout the company products. The algorithm is based on [[Gradient boosting|gradient boosting]], and was introduced since 2009.<ref name=Matrixnet>[http://company.yandex.com/technologies/matrixnet.xml MatrixNet: New Level of Search Quality]. Retrieved 2015-12-24.</ref><ref>[http://www.dataversity.net/yandex-boosts-precision-ad-targeting-machine-learning-method-matrixnet-is-behind-the-scenes/ Yandex Boosts Precision Ad Targeting; Machine-Learning Method MatrixNet Is Behind The Scenes]. Retrieved 2015-12-24.</ref> | '''MatrixNet''' is a proprietary [[Machine learning|machine learning]] algorithm developed by [[Company:Yandex|Yandex]] and used widely throughout the company products. The algorithm is based on [[Gradient boosting|gradient boosting]], and was introduced since 2009.<ref name=Matrixnet>[http://company.yandex.com/technologies/matrixnet.xml MatrixNet: New Level of Search Quality]. Retrieved 2015-12-24.</ref><ref>[http://www.dataversity.net/yandex-boosts-precision-ad-targeting-machine-learning-method-matrixnet-is-behind-the-scenes/ Yandex Boosts Precision Ad Targeting; Machine-Learning Method MatrixNet Is Behind The Scenes] {{Webarchive|url=https://web.archive.org/web/20170721172903/http://www.dataversity.net/yandex-boosts-precision-ad-targeting-machine-learning-method-matrixnet-is-behind-the-scenes/ |date=2017-07-21 }}. Retrieved 2015-12-24.</ref> | ||
==Application== | ==Application== | ||
[[Organization:CERN|CERN]] is using the algorithm to analyze, and search through the colossal data outputs generated by the use of the [[Physics:Large Hadron Collider|Large Hadron Collider]].<ref>[http://www.extremetech.com/extreme/147320-cern-boosts-its-search-for-antimatter-with-yandexs-matrixnet-search-engine-tech CERN boosts its search for antimatter with Yandex’s MatrixNet search engine tech]. Retrieved 2015-12-24.</ref> | [[Organization:CERN|CERN]] is using the algorithm to analyze, and search through the colossal data outputs generated by the use of the [[Physics:Large Hadron Collider|Large Hadron Collider]].<ref>[http://www.extremetech.com/extreme/147320-cern-boosts-its-search-for-antimatter-with-yandexs-matrixnet-search-engine-tech CERN boosts its search for antimatter with Yandex’s MatrixNet search engine tech]. Retrieved 2015-12-24.</ref> | ||
Latest revision as of 04:21, 23 May 2026
MatrixNet is a proprietary machine learning algorithm developed by Yandex and used widely throughout the company products. The algorithm is based on gradient boosting, and was introduced since 2009.[1][2]
Application
CERN is using the algorithm to analyze, and search through the colossal data outputs generated by the use of the Large Hadron Collider.[3]
See also
- Yandex Zen
References
- ↑ MatrixNet: New Level of Search Quality. Retrieved 2015-12-24.
- ↑ Yandex Boosts Precision Ad Targeting; Machine-Learning Method MatrixNet Is Behind The Scenes . Retrieved 2015-12-24.
- ↑ CERN boosts its search for antimatter with Yandex’s MatrixNet search engine tech. Retrieved 2015-12-24.
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